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» Feature selection based on the training set manipulation
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IJCNN
2006
IEEE
14 years 1 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
HCI
2009
13 years 5 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...
ICC
2007
IEEE
212views Communications» more  ICC 2007»
14 years 2 months ago
Middleware Vertical Handoff Manager: A Neural Network-Based Solution
— – Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the im...
Nidal Nasser, Sghaier Guizani, Eyhab Al-Masri
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Improving performance of mammalian microRNA target prediction
Background: MicroRNAs (miRNAs) are single-stranded non-coding RNAs known to regulate a wide range of cellular processes by silencing the gene expression at the protein and/or mRNA...
Hui Liu, Dong Yue, Yidong Chen, Shou-Jiang Gao, Yu...
PROPOR
2010
Springer
264views Languages» more  PROPOR 2010»
14 years 25 days ago
Comparing Sentence-Level Features for Authorship Analysis in Portuguese
In this paper we compare the robustness of several types of stylistic markers to help discriminate authorship at sentence level. We train a SVM-based classifier using each set of ...
Rui Sousa-Silva, Luís Sarmento, Tim Grant, ...